Derivation of an analytical model for the force produced during the motion of a magnetically suspended object
Bibliographic record
Abstract
Magnetically suspended microrobots show a great deal of potential for use in the fields of medicine and manufacturing. A system developed by one of the authors consists of a magnetic drive unit that produces a magnetic field that levitates a microrobot. One of the limitations of the system is that the force produced by the magnetic drive unit is difficult to predict unless a numerical simulation is used. A need has therefore been identified to produce an analytic model of the generated force in order to aid in the design and optimization of a position controller. Initial experiments use a two-dimensional numerical model to derive the force profile, with curve fitting used to derive the analytical model. One of the main drawbacks of this method is that the force contributions of each component of the drive unit are combined by superposition, which results in errors between the numerical model and the analytical model. The procedure has shown enough promise to try and extend the analysis to a three-dimensional model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".